class_docstr: A simple neural network for catch.
code: def initial_state(self, batch_size):
      if batch_size is None:
          shape = []
      else:
          shape = [batch_size]
      return jnp.zeros(shape)
  
imports: import collections
  import dm_env
  import haiku
  import jax.nn
  import jax.numpy
label_desc: Use image node_id 2 for calling the CatchNet obj's underlying member method code with example usage: obj.initial_state(batch_size) and returns: jnp